[visionlist] [Call for Papers]: Generative AI for Biometrics

[Vitomir Struc]

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Generative AI for Futuristic Biometrics
Special session held in the scope of IEEE IJCB 2024
15-18 September 2024, Buffalo, USA
https://sites.google.com/nyu.edu/genai-fb

Paper submission: 3 July 2024, 11:59pm PST
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*** Call for Papers ***
Generative AI has significantly reshaped modern machine learning in both 
vision and language domains in terms of unprecedented realism, diversity 
and efficiency. This will also have an impact on biometric research that 
heavily relies on large-scale, diverse, sensitive and personally 
identifiable data. On one hand, we can leverage generative models for 
controllable synthesis of large amounts of biometric data in an 
efficient automated fashion. This synthetic data in turn can be used for 
de-biasing existing models or extending data when real data is limited. 
This is essential, specifically, in extreme cases such as 
post-mortem-based recognition or recognition of infants and children, 
where data collection is significantly restricted or nearly impossible. 
Another potential use of generative models can be adaptation of 
text-driven large language models to produce natural language 
interpretation of data. The generated descriptions can explain the 
decisions generated by the biometric systems thereby, making them more 
trustworthy and explainable. On the other hand, generative AI can be 
used in an adversarial capacity to circumvent existing systems. Novel 
attack vectors such as spoofs, template inversion and Deepfake can be 
simulated more effectively using generative AI. Biometrics of the future 
should therefore, utilize this novel potential of generative AI to both 
identify vulnerabilities in existing systems and develop intelligent, 
trustworthy and robust systems.

Topics of interest include, but are not limited to the following list.

+ Novel generative models for image and voice generation
+ Generative models for biometrics in the extreme (post-mortem, young 
children, etc)
+ Generative models for attack vectors (sensor and template level attacks)
+ Text-based generative models for explainable biometrics
+ Evaluation and human perception of generated data
+ Evaluation of generative models for diversity and controllability
+ Novel applications of generative AI in biometrics

*** Submission ***
Submit your papers at: https://cmt3.research.microsoft.com/GENAI2024

Accepted papers will be published in the proceedings of IJCB 2024 and 
sent for inclusion in IEEE Xplore.


*** Important Dates ***

Full Paper Submission: July 3, 2024, 23:59:59 PDT
Acceptance Notice:     July 24, 2024, 23:59:59 PDT

For more information, visit: https://sites.google.com/nyu.edu/genai-fb

-- 
Prof. Vitomir Struc, PhD
Laboratory for Machine Intelligence
Faculty of Electrical Engineering
University of Ljubljana, Slovenija
URL: https://lmi.fe.uni-lj.si/en/vitomir-struc/

VP Technical Activities, IEEE Biometrics Council
General Co-Chair: IEEE International Joint Conference on Biometrics (IJCB 2023), https://ijcb2023.ieee-biometrics.org
Program Co-Chair: IEEE International Conference on Automatic Face and Gesture Recognition (FG 2024), https://fg2024.ieee-biometrics.org/